Metadata-Version: 2.1
Name: neuralnet-visualize
Version: 0.1.0
Summary: Generate a neural network architecture Image
Home-page: https://github.com/AnuragAnalog/nn_visualize
Author: Anurag Peddi
Author-email: anurag.peddi1998@gmail.com
License: Apache License 2.0
Download-URL: https://pypi.org/project/neuralnet-visualize/
Keywords: Deep,Visualizer,Neural,Network,Visualize,Graphviz,Python
Platform: UNKNOWN
Classifier: Natural Language :: English
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: graphviz (>=0.14tensorflow>=2.0.0a0)

# Neural Network Visualizer

## General Description

A module which creates a neural network with the given architecture(only Dense layers)

## Installation

### Before installation

Before installing the module, run the below command at your prompt to install the graphviz
```shell
$ sudo apt install graphviz
```

### Normal installation
```shell
$ sudo pip3 install neuralnet-visualize
```

### Development installation
```shell
$ git clone https://github.com/AnuragAnalog/nn_visualize.git
$ cd nn_visualize
```

### After installation

After installing the module, if you want to upgrade the module, run the below command.
```shell
sudo pip3 install neuralnet-visualize --upgrade
```

## Future Works

* Add Convolutional layers, Maxpooling, Flatten layers, LSTM's
* Specific colors for activation functions
* Specific colors for types of layers


# Neural Network Visualizer Version History

## 0.1.0

* Added documentation

### 0.0.4

* Refactored summarize function
* Added a code part which colors output layer to red
* Added from_tensorflow method

### 0.0.3

* Added more display orientations
* Refactored the build network and add layer code
* Added some more file extensions to which image can be saved
* Added summarize function

### 0.0.2

* Added colors to type of layers
* Added Dense layers

### 0.0.1

Intial Version

* Starting code

